T-Cell Subsets and Interleukin-10 Levels Are Predictors of Severity and Mortality in COVID-19: A Systematic Review and Meta-Analysis

Frontiers in Medicine

article

Amal F. Alshammary¹  Jawaher M. Alsughayyir¹  Khalid K. Alharbi¹  Abdulrahman M. Al-Sulaiman²  Haifa F. Alshammary³  Heba F. Alshammary⁴ 

[1] Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University;Department of Medical and Molecular Virology, Prince Sultan Military Medical City;College of Applied Medical Sciences, Riyadh Elm University;College of Dentistry, Riyadh Elm University

关键词: COVID-19;    SARS-CoV-2;    coronavirus;    interleukin 10;    CD4;    CD8;    IL-10;   

DOI  :  10.3389/fmed.2022.852749

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Background Many COVID-19 patients reveal a marked decrease in their lymphocyte counts, a condition that translates clinically into immunodepression and is common among these patients. Outcomes for infected patients vary depending on their lymphocytopenia status, especially their T-cell counts. Patients are more likely to recover when lymphocytopenia is resolved. When lymphocytopenia persists, severe complications can develop and often lead to death. Similarly, IL-10 concentration is elevated in severe COVID-19 cases and may be associated with the depression observed in T-cell counts. Accordingly, this systematic review and meta-analysis aims to analyze T-cell subsets and IL-10 levels among COVID-19 patients. Understanding the underlying mechanisms of the immunodepression observed in COVID-19, and its consequences, may enable early identification of disease severity and reduction of overall morbidity and mortality. Methods A systematic search was conducted covering PubMed MEDLINE, Scopus, Web of Science, and EBSCO databases for journal articles published from December 1, 2019 to March 14, 2021. In addition, we reviewed bibliographies of relevant reviews and the medRxiv preprint server for eligible studies. Our search covered published studies reporting laboratory parameters for T-cell subsets (CD4/CD8) and IL-10 among confirmed COVID-19 patients. Six authors carried out the process of data screening, extraction, and quality assessment independently. The DerSimonian-Laird random-effect model was performed for this meta-analysis, and the standardized mean difference (SMD) and 95% confidence interval (CI) were calculated for each parameter. Results A total of 52 studies from 11 countries across 3 continents were included in this study. Compared with mild and survivor COVID-19 cases, severe and non-survivor cases had lower counts of CD4/CD8 T-cells and higher levels of IL-10. Conclusion Our findings reveal that the level of CD4/CD8 T-cells and IL-10 are reliable predictors of severity and mortality in COVID-19 patients.

【 授权许可】

CC BY